Sponge Microbiome Data on Dimethylsulfoniopropionate Catabolism in the Red Sea
by Nabila Ishaq·Updated 2mo ago
919.8 KB1files
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Description
Metagenomic, metatranscriptomic, and biochemical evidence reveals the role of sponge-associated microorganisms in marine sulfur cycling. This study provides genomic, functional, and biochemical data for a novel bacterial species, Microbulbifer spongiae MI-G, isolated from the Red Sea sponge Diacarnus erythraenus. The dataset, authored by Nabila Ishaq and last updated in April 2026, is the first to confirm DMSP catabolism by sponge microbes at the microbiome, metatranscriptome, and strain levels.
Use Cases
Study microbial dimethylsulfoniopropionate (DMSP) catabolism pathways based on metagenomic and metatranscriptomic analyses mentioned in the description
Investigate assimilatory and dissimilatory sulfate reduction in sponge microbiomes based on functional gene data
Analyze the metabolic capabilities of the novel bacterial species Microbulbifer spongiae MI-G based on genomic and recombinant protein activity evidence
Compare sulfur cycle functional gene abundance between shallow-water and mesophotic sponge environments as described
Strengths
Provides multi-omic evidence (metagenomics, metatranscriptomics, RT-qPCR) for a specific metabolic function
Includes biochemical validation through heterologous gene expression and recombinant protein activity analysis
First study to confirm DMSP catabolism by sponge microorganisms at three distinct biological levels
Limitations
Column-level documentation is absent; field semantics must be inferred after download
Row count is unknown, which may limit suitability assessment
The primary data file is a 919.8 KB DOCX document, which suggests the dataset is small in scale and may contain processed results rather than raw sequence data
Provenance
Source
Nabila Ishaq via figshare
Collection Method
Metagenomics, metatranscriptomics, RT-qPCR, and bacterial isolation from sponge samples
Time Range
null
Freshness
Last updated 2026-04-15 04:37:06
Geography
Red Sea (shallow-water and mesophotic environments)
Data is provided as a DOCX file, which may require conversion or text extraction for computational analysis.